Latent Generative Anamorphoses

An implementation of 2D latent generative anamorphoses using Stable Diffusion 3.5, inspired by the LookingGlass paper, Chang et. al. [CVPR 2025].

This project generates anamorphic images — single images that reveal different content when viewed from different perspectives or transformations. For example, an image that looks like Einstein when viewed normally, but reveals Marilyn Monroe when rotated or rearranged.

Note: This implementation includes the basic 2D transformations suggested in the LookingGlass paper, such as circular rotations (90°, 135°, 180°), vertical/horizontal flipping, and the jigsaw permutation from Geng et al. The full 3D anamorphosis features from the original paper are not included.

Jigsaw Puzzle : View 1 (Cat)	Jigsaw Puzzle : View 2 (Puppy)

Installation

# Clone the repository
git clone https://github.com/your-repo/LatentGenerativeAnamorphoses.git
cd LatentGenerativeAnamorphoses

# Install dependencies
pip install -e diffusers/
pip install torch transformers accelerate

Usage

Navigate to the diffusers/ directory and run:

cd diffusers

python sd3.5.py \
  --style-prompt "a pop art of" \
  --prompt1 "a cat" \
  --prompt2 "a puppy" \
  --transform jigsaw \
  --output-dir "outputs/einstein_marilyn/" \
  --seed 1

Command-Line Arguments

Argument	Default	Description
--style-prompt	"a pop art of "	Style prefix applied to both prompts
--prompt1	"albert einstein"	First subject/view prompt
--prompt2	"marilyn monroe"	Second subject/view prompt (revealed after transform)
--transform	"jigsaw"	Anamorphosis transform type (see below)
--output-dir	"."	Directory to save generated images
--seed	1	Random seed for reproducibility

Transform Types

Transform	Description
vertical	Vertical flip — image reveals second prompt when flipped upside-down
horizontal	Horizontal flip — image reveals second prompt when mirrored left-right
90rot	90° circular rotation in center region
135rot	135° circular rotation in center region
180rot	180° circular rotation in center region
jigsaw	Jigsaw puzzle permutation (from Geng et al.) — rearranging tiles reveals second image

---

Examples

90 degree rotation transform: Einstein ↔ Marilyn (Pop Art)

• Style-Prompt : "a pop art of"
• Prompt1 : "albert einstein"
• Prompt2 : "marilyn monroe"

View 1 (Einstein)	View 2 (Marilyn)

---

Jigsaw Transform: Fruit Bowl ↔ Gorilla

• Style-Prompt : "an oil painting of"
• Prompt1 : "a bowl of fruits"
• Prompt2 : "a gorilla"

View 1 (Fruit)	View 2 (Gorilla)

---

90 degree rotation transform: Village ↔ Horse

• Style-Prompt : "a painting of"
• Prompt1 : "a village"
• Prompt2 : "a horse"

View 1 (Village)	View 2 (Horse)

Jigsaw puzzle transform: Puppy ↔ Cat

• Style-Prompt : "a water color painting of"
• Prompt1 : "a puppy"
• Prompt2 : "a cat"

View 1 (Puppy)	View 2 (Cat)

90 degree rotation transform: Village ↔ Ship

• Style-Prompt : "an oil painting of"
• Prompt1 : "a ship"
• Prompt2 : "a village in the mountains"

View 1 (Ship)	View 2 (Village)

Jigsaw puzzle transform: Flowers ↔ Bird

• Style-Prompt : "a water color painting of"
• Prompt1 : "flowers"
• Prompt2 : "a bird"

View 1 (Flowers)	View 2 (Bird)

90 degree inner circular transform: Cave ↔ Parrot

• Style-Prompt : "a rendering of"
• Prompt1 : "an icy cave"
• Prompt2 : "a parrot"

View 1 (Cave)	View 2 (Parrot)

90 degree rotation transform: Man ↔ Camp Fire

• Style-Prompt : "an oil painting of"
• Prompt1 : "people at a camp fire"
• Prompt2 : "a man"

View 1 (Man)	View 2 (Camp Fire)

---

For more details please see the explanation here and refer to the original paper

---

Citations

If you use this code, please cite the original papers. We thank the authors for their work:

LookingGlass (Laplacian Pyramid Warping method):

@misc{chang2025lookingglassgenerativeanamorphoseslaplacian,
      title={LookingGlass: Generative Anamorphoses via Laplacian Pyramid Warping}, 
      author={Pascal Chang and Sergio Sancho and Jingwei Tang and Markus Gross and Vinicius C. Azevedo},
      year={2025},
      eprint={2504.08902},
      archivePrefix={arXiv},
      primaryClass={cs.CV},
      url={https://arxiv.org/abs/2504.08902}, 
}

Visual Anagrams (Jigsaw transform):

@inproceedings{geng2024visualanagrams,
      title={Visual Anagrams: Generating Multi-View Optical Illusions with Diffusion Models},
      author={Daniel Geng and Inbum Park and Andrew Owens},
      booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
      year={2024},
      eprint={2311.17919},
      archivePrefix={arXiv},
      url={https://arxiv.org/abs/2311.17919},
}